Martin Leverkus

159 total papers · 8.5k total citations
87 papers, 5.5k citations indexed

About

Martin Leverkus is a scholar working on Molecular Biology, Immunology and Dermatology. According to data from OpenAlex, Martin Leverkus has authored 87 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 32 papers in Immunology and 20 papers in Dermatology. Recurrent topics in Martin Leverkus's work include Cell death mechanisms and regulation (31 papers), NF-κB Signaling Pathways (14 papers) and Immune Response and Inflammation (9 papers). Martin Leverkus is often cited by papers focused on Cell death mechanisms and regulation (31 papers), NF-κB Signaling Pathways (14 papers) and Immune Response and Inflammation (9 papers). Martin Leverkus collaborates with scholars based in Germany, United States and United Kingdom. Martin Leverkus's co-authors include Maria Feoktistova, Peter Geserick, Mike Hupe, Marion MacFarlane, Beate Kellert, Kelvin Cain, Georg Häcker, John Silke, Barbara A. Gilchrest and W. Wei‐Lynn Wong and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Martin Leverkus

85 papers receiving 5.5k citations

Hit Papers

IAP Antagonists Target cI... 2007 2026 2013 2019 2007 2011 2016 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Leverkus 3.5k 2.0k 960 958 802 87 5.5k
Jin Mo Park 3.4k 1.0× 2.1k 1.1× 1.3k 1.4× 1.3k 1.4× 451 0.6× 76 6.4k
Robert Eferl 3.8k 1.1× 1.4k 0.7× 1.3k 1.3× 2.0k 2.0× 528 0.7× 68 6.6k
Sergei B. Koralov 2.6k 0.7× 2.0k 1.0× 786 0.8× 742 0.8× 612 0.8× 82 5.3k
Franco Di Padova 2.8k 0.8× 2.3k 1.2× 909 0.9× 719 0.8× 520 0.6× 70 6.1k
S.G. Hymowitz 4.7k 1.3× 3.0k 1.5× 1.1k 1.1× 1.6k 1.7× 717 0.9× 50 7.6k
Alexei Gratchev 2.7k 0.8× 2.0k 1.0× 466 0.5× 1.0k 1.1× 458 0.6× 123 5.4k
Jochen Heß 3.4k 1.0× 1.6k 0.8× 1.3k 1.3× 1.5k 1.5× 487 0.6× 138 6.4k
Taketo Yamada 2.1k 0.6× 2.7k 1.4× 483 0.5× 1.2k 1.3× 599 0.7× 177 7.4k
Éric Boilard 3.5k 1.0× 1.7k 0.9× 1.1k 1.1× 722 0.8× 434 0.5× 123 7.0k
F. Xiao‐Feng Qin 2.6k 0.7× 3.8k 1.9× 592 0.6× 993 1.0× 879 1.1× 115 7.9k

Countries citing papers authored by Martin Leverkus

Since Specialization
Citations

This map shows the geographic impact of Martin Leverkus's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Leverkus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Leverkus more than expected).

Fields of papers citing papers by Martin Leverkus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Leverkus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Leverkus. The network helps show where Martin Leverkus may publish in the future.

Co-authorship network of co-authors of Martin Leverkus

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Leverkus. A scholar is included among the top collaborators of Martin Leverkus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Leverkus. Martin Leverkus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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